ATS Play ON Trend of the Day: The Mavericks are 19-0 ATS (+8.39 ppg) as a dog with less than two days rest after playing as a road dog when they are facing a team that is averaging less than 20 fouls per game.

ATS Play AGAINST Trend of the Day: The Pistons are 0-16 ATS (-13.94 ppg) on the road off a 10+ win as a home favorite when they are facing a team that is getting less than 25percent or their rebounds on the offensive end of the floor.

OU Play OVER Trend of the Day: The Wizards are 14-0 OU (+18.86 ppg) on the road with less than two days rest off a game as a favorite in which they scored a least 18 fast breakpoints.

OU Play UNDER Trend of the Day: The Rockets are 0-17 OU (-17.38 ppg) at home off a game as a dog when they are facing a team that is averaging more than five blocks per game.

Player-Based ATS Trend of the Day: The Hornets are 0-11 ATS (-7.05 ppg) at home after a game as a home favorite in which Kemba Walker shot under 40 percent and was their high scorer.

Player-Based OU Trend of the Day: The Rockets are 0-9 OU (-16.61 ppg) at home off a game as a dog in which Clint Capela had fewer than 10 points.

More NBA betting tips:

Sports Data Query Group

We also investigate the technical circumstances of each team and game, searching for meaningful historical trends utilizing the SDQL. How teams have performed under certain conditions in the past, such as; after a loss in which their star was no the high scorer, after a game in which their star point guard committed five-plus turnovers or after two straight games in which 60%-plus of their baskets were assisted, can portend future outcomes. In addition to selectively using these established, simple single-team and single-factor angles, we have discovered and continue to develop our own unique and complex team and league-wide sports handicapping systems for employment in our arsenal. SDQL Guru’s SYSTEMS are the most POWERFUL technical handicapping tools in the industry.

Sports Data Query Group has 197 posts and counting. See all posts by Sports Data Query Group

Sports Data Query Group

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